--- title: README emoji: 🔬 colorFrom: gray colorTo: gray sdk: static pinned: false --- # Smart Embedded Systems Lab · OTH Regensburg **Trustworthy AI: detecting AI-generated content and explaining why.** The Smart Embedded Systems Lab (SES Lab) at OTH Regensburg (Ostbayerische Technische Hochschule Regensburg, Germany) builds AI systems that hold up outside the lab. Our focus is the detection of AI-generated text and images: detectors that generalise across datasets, generators and domains, that survive adversarial manipulation of their input, and whose decisions can be explained to the people who rely on them. [Lab website](https://elektro-informationstechnik.oth-regensburg.de/labore/smart-embedded-systems) · [GitHub](https://github.com/SES-Lab-OTH) · [Real or Fake? AI Challenge](https://ses-lab-oth.github.io/AIliens/) ## Featured: DeBERTa-ConPara (AACL-IJCNLP 2026) Attack-aware detection of AI-generated text, built for deployment: unknown domains, unknown generators and adversarially perturbed input. On the official RAID leaderboard: AUROC 99.61 %, TPR 96.57 % at 1 % FPR. | | | |---|---| | Model | [SES-Lab-OTH/deberta-conpara](https://huggingface.co/SES-Lab-OTH/deberta-conpara) | | Live demo | [Space: deberta-conpara](https://huggingface.co/spaces/mohamedmady/deberta-conpara) | | Paper | [arXiv:2610.00883](https://arxiv.org/abs/2610.00883) | | Code | [github.com/SES-Lab-OTH/deberta-conpara](https://github.com/SES-Lab-OTH/deberta-conpara) | ## Datasets | Dataset | Size | Content | |---|---|---| | [Academic-Text-arxiv-gpt-gemini](https://huggingface.co/datasets/SES-Lab-OTH/Academic-Text-arxiv-gpt-gemini) | 669,008 paragraphs | Human academic paragraphs from arXiv (papers before 2022) and AI-generated counterparts from GPT-3.5-Turbo and Gemini 2.0 Flash | | [HC3-Gemini-Flash-Responses](https://huggingface.co/datasets/SES-Lab-OTH/HC3-Gemini-Flash-Responses) | 23,463 responses | Gemini 2.0 Flash answers to the HC3 questions, for measuring generator shift against HC3 | ## People - **Prof. Dr.-Ing. Johannes Reschke**, professor of self-learning and adaptive systems - **Mohamed Mady**, doctoral researcher (cooperative doctorate with the Technical University of Munich) - **Gerald Schickhuber**, lab engineer Publications, contact and more on our [GitHub page](https://github.com/SES-Lab-OTH).